1
Brain Imaging and Analysis Center, Duke
University Medical Center, Durham, North Carolina,
United States

Interleaved EPI based fMRI is highly susceptible to
unstable aliasing artifacts across the FOV as a result
of B0 drifting over time, physiological noises and
subject motion. The recently developed multiplexed
sensitivity-encoding (MUSE) post-processing algorithm
can suppress the in-plane aliasing artifacts resulting
from time-domain signal instabilities during dynamic
scans. In this study, the MUSE algorithm is further
developed and generalized to accommodate high-throughput
fMRI data obtained with multi-band interleaved EPI pulse
sequence, suppressing both in-plane and through-plane
aliasing artifacts and improving image throughput.

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